Utilizing Community Detection Approach for Sustainability Application

Complex network contains a special topological features highlighting the existing interaction and connectivity that lies within the network. Understanding the hidden features requires an interpretation of network measurement associated. Important related issues covered in this work comprise the representation of the evolution of complex networks in terms correlations between some of the most-used measurements, and its relevant community detection application. It is hoped that the present suggestions will help the proper application and interpretation of measurements to optimize the hidden information lies within each network.